NEW YORK, March 09, 2026 (GLOBE NEWSWIRE) -- Datadog, Inc., (NASDAQ:DDOG), the AI-powered observability and security platform for cloud applications, today announced that its MCP Server is generally available. For developers embedding AI agents into development and operational workflows, the Datadog MCP Server provides access to live observability data—so teams can debug in their preferred choice of AI coding agents or Integrated Development Environment with real-time telemetry and take action within established security and governance controls.

"Datadog delivers AI solutions that transform complexity into clarity and blind spots into security, helping protect global businesses and make operations seamless. We are always listening to our customers and the biggest problems they are facing in their day-to-day work, which is why we are excited to launch our MCP Server as the latest way to help teams become more efficient in using Datadog to build and scale AI systems across their organizations," said Yanbing Li, Chief Product Officer at Datadog. "By combining telemetry from Datadog's unified observability platform into teams' AI workflows, we are enabling the next stage of AI-native development—moving from simply AI copilots to AI operating on live production systems."

As embedding AI agents into workflows becomes standard practice at companies across all industries, engineering teams are being tasked with operationalizing AI agents and navigating the intense complexity of this process. To do this, they need secure, governed access to production data, reduced integration overhead and compatibility with compliance requirements.

Datadog MCP Server is a purpose-built interface designed for agentic systems, extending Datadog's unified observability platform directly into AI workflows so that engineering teams can:

Debug and act quickly without context switching: Feeds live logs, metrics and traces directly into AI coding agents like Claude Code, Cursor, Codex, Github Copilot, Cognition and Visual Studio Code when investigating production issues.
Give custom AI agents direct access to real-time observability and intelligence: Empowers agents to leverage Datadog's proactive detection and remediation signals so they can investigate and respond to issues automatically.
Simplify data access for AI workflows: Reduces the risk of breaking changes by providing a dynamic, purpose-built protocol for agent communication.

"AI compounds complexity, especially with its pace of innovation. Datadog is helping to solve that complexity for customers with launches like MCP Server by enabling autonomy across Dev, Ops and Security teams so that they can not only detect, decide and act on issues within Datadog, but also build, deliver and evaluate software throughout the development process," said Li.

Datadog MCP Server is now generally available. To learn more, please visit: https://www.datadoghq.com/blog/datadog-mcp-server-use-cases/.

About Datadog

Datadog is the leading AI-powered observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and many other capabilities to provide unified, real-time observability and security for our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

Forward-Looking Statements

This press release may include certain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended including statements on the benefits of new products and features. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control, including those risks detailed under the caption "Risk Factors" and elsewhere in our Securities and Exchange Commission filings and reports, including the Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission on February 18, 2026, as well as future filings and reports by us. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.

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Datadog Launches MCP Server to Provide AI Agents with Secure, Real-Time Access to Unified Observability Data